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Assessing the Precision of Compositional Data in a Stratified Double Stage Cluster Sample: Application to the Swiss Earnings Structure Survey
Graf, Monique
Mateu i Figueras, Glòria; Barceló i Vidal, Carles; Universitat de Girona. Departament d’Informàtica i Matemàtica Aplicada
Precision of released figures is not only an important quality feature of official statistics,it is also essential for a good understanding of the data. In this paper we show a casestudy of how precision could be conveyed if the multivariate nature of data has to betaken into account. In the official release of the Swiss earnings structure survey, the totalsalary is broken down into several wage components. We follow Aitchison's approachfor the analysis of compositional data, which is based on logratios of components. Wefirst present diferent multivariate analyses of the compositional data whereby the wagecomponents are broken down by economic activity classes. Then we propose a numberof ways to assess precision
Geologische Vereinigung; Institut d’Estadística de Catalunya; International Association for Mathematical Geology; Patronat de l’Escola Politècnica Superior de la Universitat de Girona; Fundació privada: Girona, Universitat i Futur; Càtedra Lluís Santaló d’Aplicacions de la Matemàtica; Consell Social de la Universitat de Girona; Ministerio de Ciencia i Tecnología.
2009-04-01
Estadística matemàtica
Anàlisi de variància
Consulteu les condicions d'ús d'aquest document en el repositori original:http://hdl.handle.net/10256/700
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Universitat de Girona. Departament d’Informàtica i Matemàtica Aplicada
         

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